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Intelligent document processing with AWS AI services in the insurance industry: Part 1

AWS Machine Learning

The goal of intelligent document processing (IDP) is to help your organization make faster and more accurate decisions by applying AI to process your paperwork. Insurance customers can automate this process using AWS AI services to automate the document processing pipeline for claims processing. Part 2: Data enrichment and insights.

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Create Your CX Charter with These 6 Questions

Experience Investigators by 360Connext

A customer experience charter is a brief document outlining the agreements the CX governing team needs to align with their decisions. How Can We Prioritize CX efforts? Ultimately, your CX team is there to help with overall governance and prioritization for your CX efforts. The charter, however, is not a magical document.

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B2B Customer Experience: The Complete Guide

InMoment XI

Here are some examples of how B2B companies are applying tactics designed to improve the customer experience: CRM platform HubSpot utilizes chatbots to connect with customers and encourage open communication.

B2B 551
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Choosing the Best Text Analysis Software for Your Business

InMoment XI

Forrester states, “The XI platform’s strengths include knowledge-based/symbolic AI; genAI-based processes, including pre-processing and post-processing of data; document-level text mining; DevOps and text analytics embedded in other business applications; natural language understanding; and support for all relevant use cases.”

Analysis 260
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Create a multimodal assistant with advanced RAG and Amazon Bedrock

AWS Machine Learning

Solution architecture The mmRAG solution is based on a straightforward concept: to extract different data types separately, you generate text summarization using a VLM from different data types, embed text summaries along with raw data accordingly to a vector database, and store raw unstructured data in a document store. split('.')[0]}.json"

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. To increase training samples for better learning, we also used another LLM to generate feedback scores. This method addressed the RAG limitation and further improved the bot response quality.

Feedback 114
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What Is Sentiment Analysis? Definition, Types, Importance, and More

InMoment XI

To make this possible, sentiment analysis is generally supported by sentiment scoring (also called polarity analysis ). Often the polarity or overall sentiment is expressed using a numerical score ranging from -100 up to 100, with 0 representing a completely neutral sentiment. How Does Sentiment Analysis Work? Smart Text Analytics.

Analysis 493